Applied Informatics for Health IT Managers
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Current advances in knowledge and technology have resulted in profound implications on the methodology of teaching. Faculty involved with Informatics Nursing curriculum face particular challenges because the foundational concepts of Informatics must often be integrated with the software commonly used in information management systems.This demonstration includes an overview of the informatics curriculum and explores the issues related to providing a nursing informatics curriculum at a distance. An in-depth review of an actual course that combines the foundational concepts of informatics with software technology used in informatics management systems will be provided. The end-of-course assessments and lessons learned from integration of software technology within the curriculum will be discussed.
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The need for health informatics professionals has been on the rise. Existing health informatics programs in the USA do not adequately equip students with relevant skills to address field-specific challenges. Thus, a skills gap arises between graduating health informatics professionals, and typical job requirements in many health informatics fields; and this gap has traditionally been addressed by employing graduates with computer science and engineering degrees. Moreover, graduate programs in many health informatics fields consistently offer less credits in computer science and information technology, compared to other informatics fields. This article provides a basic analysis of both undergraduate and graduate programs in health informatics in the USA. It highlights the differences across common informatics programs in medical sciences, and proposes more STEM-focused undergraduate degree options to complement existing undergraduate programs to have an immediate effect, which could provide students proper training to help narrow this technology-specific skills gap.
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Biomedical informatics is a maturing discipline. During the last forty years, it has developed into a research discipline of significant scale and scope. One of its subdisciplines, dental informatics, is beginning to emerge as its own entity. While there is a growing cadre of trained dental informaticians, dental faculty and administrators in general are not very familiar with dental informatics as an area of scientific inquiry. Many confuse informatics with information technology (IT), are unaware of its scientific methods and principles, and cannot relate dental informatics to biomedical informatics as a whole. This article delineates informatics from information technology and explains the types of scientific questions that dental and other informaticians typically explore. Scientific investigation in informatics centers primarily on model formulation, system development, system implementation, and the study of effects. Informatics draws its scientific methods mainly from information science, computer science, cognitive science, and telecommunications. Dental informatics shares many types of research questions and methods with its parent discipline, biomedical informatics. However, there are indications that certain research questions in dental informatics require novel solutions that have not yet been developed in other informatics fields.
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Abstract Informatics is the use of information technology, broadly conceived, to advance a domain of work or inquiry. Concerns within informatics divide into system, role, function, workflow, information repository, information tools, standards, and technology. Individual efforts go through four phases: model formulation, system development, system installation, and study of effects. Areas within health sciences informatics include medical informatics, nursing informatics, public health informatics, and statistics informatics.
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In the last 50 years, computational applications have been developed to aid clinicians and researchers alike in the broad field of Biomedicine. Adopted early in the evolution of the field, the term medical informatics has been applied to the various sub-disciplines of computer applications and methods of organizing and using information principles and techniques in both clinical care and biomedical research. This chapter provides a broad survey of the complex discipline of Biomedical Informatics with special emphasis on the key emerging sub-disciplines such as translational informatics, clinical research informatics, consumer health informatics, and the informatics of the “omics” sciences, systems biology, and nanotechnology.
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Abstract Informatics is the use of information technology, broadly conceived, to advance a domain of work or inquiry. Concerns within informatics divide into system, role, function, workflow, information repository, information tools, standards, and technology. Individual efforts go through four phases: model formulation, system development, system installation, and study of effects. Areas within health sciences informatics include medical informatics, nursing informatics, public health informatics, and statistics informatics.
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Summary Objectives: To clarify challenges and research topics for informatics in health and to describe new approaches for interdisciplinary collaboration and education. Methods: Research challenges and possible solutions were elaborated by scientists of two universities using an interdisciplinary approach, in a series of meetings over several months. Results and Conclusion: In order to translate scientific results from bench to bedside and further into an evidence-based and efficient health system, intensive collaboration is needed between experts from medicine, biology, informatics, engineering, public health, as well as social and economic sciences. Research challenges can be attributed to four areas: bioinformatics and systems biology, biomedical engineering and informatics, health informatics and individual healthcare, and public health informatics. In order to bridge existing gaps between different disciplines and cultures, we suggest focusing on interdisciplinary education, taking an integrative approach and starting interdisciplinary practice at early stages of education. * See more detailed authors´ affiliations at the end of the article.
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This chapter gives an educational overview of: * the scope of the health informatics discipline * health informatics and e-health definitions * health informatics professional networks * potential benefits of applying health informatics technologies.
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Biomedical informatics is a maturing discipline. During the last forty years, it has developed into a research discipline of significant scale and scope. One of its subdisciplines, dental informatics, is beginning to emerge as its own entity. While there is a growing cadre of trained dental informaticians, dental faculty and administrators in general are not very familiar with dental informatics as an area of scientific inquiry. Many confuse informatics with information technology (IT), are unaware of its scientific methods and principles, and cannot relate dental informatics to biomedical informatics as a whole. This article delineates informatics from information technology and explains the types of scientific questions that dental and other informaticians typically explore. Scientific investigation in informatics centers primarily on model formulation, system development, system implementation, and the study of effects. Informatics draws its scientific methods mainly from information science, computer science, cognitive science, and telecommunications. Dental informatics shares many types of research questions and methods with its parent discipline, biomedical informatics. However, there are indications that certain research questions in dental informatics require novel solutions that have not yet been developed in other informatics fields.
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The field of Biomedical and Health Informatics (BMHI) continues to define itself, and there are many educational programs offering 'informatics' degrees with varied foci. The goal of this study was to develop a scheme for systematic comparison of programs across the entire BMHI spectrum and to identify commonalities among informatics curricula.
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